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CN109831525A - Terminal equipment control method, apparatus and system based on cloud and mist calculating - Google Patents

Terminal equipment control method, apparatus and system based on cloud and mist calculating Download PDF

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Publication number
CN109831525A
CN109831525A CN201910184488.0A CN201910184488A CN109831525A CN 109831525 A CN109831525 A CN 109831525A CN 201910184488 A CN201910184488 A CN 201910184488A CN 109831525 A CN109831525 A CN 109831525A
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China
Prior art keywords
control
task
control task
terminal device
cloud computing
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CN201910184488.0A
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Chinese (zh)
Inventor
韩邢峰
王宝文
梅晓东
邹绍琨
李二斌
牛孝先
丁银亮
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Hefei Sunshine Amperex Technology Ltd
Hefei Sungrow New Energy Technology Co Ltd
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Hefei Sunshine Amperex Technology Ltd
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Priority to CN201910184488.0A priority Critical patent/CN109831525A/en
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Abstract

This application provides a kind of terminal equipment control methods calculated based on cloud and mist, apparatus and system, wherein method is applied to mist computing terminal, cloud computing center corresponds at least one mist computing terminal, energy affecting parameters information is obtained first, then task analysis is carried out to energy affecting parameters information, obtains at least one control task;Finally judge whether control task needs cloud computing center to be performed in unison with;If so, sending cloud computing center for control task, and receive the control strategy that cloud computing center is generated according to control task;If it is not, generating corresponding control strategy according to control task, control strategy is decomposed into the control instruction of corresponding different terminal equipment, and control corresponding terminal device according to control instruction.By combining cloud computing and mist to calculate controlling terminal equipment, making up cloud computing transmission, there are the deficiencies of hysteresis quality, meet the timeliness requirement that user uses in using energy source and household electrical appliances.

Description

Terminal equipment control method, apparatus and system based on cloud and mist calculating
Technical field
The present invention relates to Internet of Things, Smart Home technical field, more particularly to a kind of terminal calculated based on cloud and mist Apparatus control method, apparatus and system.
Background technique
With the continuous promotion of people's quality of life, people are to using energy source and to household electrical appliances comforts of use and intelligence Energyization requires also higher and higher.Each user is not quite similar to the utilization demand of the energy, the individual demand used household electrical appliances There is very big difference.How in the case where energy saving, providing optimal home energy source management is current urgent problem.
Cloud computing has been developed in recent years network technology, and calculating task is distributed in the resource that a large amount of computers are constituted Chi Shang enables various application systems to obtain as needed and calculates power, memory space and various software services.It is multiple calculating Effective solution route can be provided in the highly difficult problem that miscellaneous, amount of analysis is big, to occupy resource excessive etc., can be applied to family In terms of energy management.
But cloud computing center generally apart from user terminal farther out, propose from terminal requirements to obtaining optimal solution There are certain time delay and network congestions for centre, while there is also lag from cloud computing center sending instruction control relevant device Property, transmission therein and calculating process are also required to consume very big resource.
Based on the above reasons, there are certain hysteresis qualitys in terms of transmission for cloud computing, can not meet user in using energy source Timeliness requirement when being used with household electrical appliances.
Summary of the invention
In view of this, the present invention provides a kind of terminal equipment control methods calculated based on cloud and mist, apparatus and system, more Having mended cloud computing, there are the deficiencies of hysteresis quality in terms of transmission, meet timeliness of the user when using energy source and household electrical appliances use It is required that.
In order to achieve the above-mentioned object of the invention, specific technical solution provided by the invention is as follows:
A kind of terminal equipment control method calculated based on cloud and mist, is applied to mist computing terminal, and cloud computing center is corresponding extremely A few mist computing terminal, which comprises
Obtain energy affecting parameters information;
Task analysis is carried out to the energy affecting parameters information, obtains at least one control task;
Judge whether the control task needs cloud computing center to be performed in unison with;
If so, sending cloud computing center for the control task, and the cloud computing center is received according to the control The control strategy that task generates;
If it is not, generating corresponding control strategy according to the control task;
Control strategy is decomposed into the control instruction of corresponding different terminal equipment, and according to the control instruction to correspondence Terminal device controlled.
Optionally, the energy affecting parameters information includes customer incident information, user's body information and environmental information.It can Choosing, it is described to judge whether the control task needs cloud computing center to be performed in unison with, comprising:
Determine the execution time of the control task;
Whether within a preset range to judge the execution time of the control task;
If so, determining that the control task does not need cloud computing center and is performed in unison with;
If it is not, determining that the control task needs cloud computing center to be performed in unison with.
It is optionally, described that corresponding control strategy is generated according to the control task, comprising:
Judge to whether there is control strategy corresponding with the control task in local control strategy library;
If it exists, control strategy corresponding with the control task in the local control strategy library is obtained;
If it does not exist, the rated power and electricity consumption duration, Yi Jifei of specified electrical equipment are determined according to the control task The prediction power and electricity consumption duration of specified electrical equipment, and rated power according to the specified electrical equipment and electricity consumption duration, And the prediction power and electricity consumption duration calculation electricity demand forecasting value of the non-specified electrical equipment, the non-specified electrical equipment Prediction power be to be estimated according to the gap between environmental information environmental information corresponding with users'comfort;
It is set according to each terminal in the mark and the control task of the corresponding each terminal device of the control task The standby electricity consumption period, electricity consumption period matrix is generated, the electricity consumption period matrix indicates the corresponding each terminal of the control task Equipment each period whether electricity consumption;
According to the electricity demand forecasting value and the electricity consumption period matrix, in supply side constraint and users'comfort constraint Under conditions of, generate the corresponding optimal control policy of the control task, and by the corresponding optimal control of the control task Policy store processed is in local control strategy library.
Optionally, described according to the electricity demand forecasting value and the electricity consumption period matrix, it constrains and uses in supply side Under conditions of the constraint of family comfort level, the corresponding optimal control policy of the control task is generated, comprising:
According to the electricity consumption period matrix, regular in supply side constrained dispatch rule and users'comfort constrained dispatch Under constraint, the electricity consumption period of terminal device is scheduled, generates optimal electricity consumption period matrix;
According to the electricity demand forecasting value, regular in supply side constrained dispatch rule and users'comfort constrained dispatch Under constraint, the power supply order of different power supply modes and the maximum power supply volume of every kind of power supply mode are determined.
Optionally, the supply side constrained dispatch rule includes photovoltaic power generation, energy storage electricity, power grid trough electricity and power grid wave crest The electricity consumption of electricity uses sequence and photovoltaic power generation constraint rule, energy-storage system constraint rule and power constraint rule;
The users'comfort constrained dispatch rule is specially the scheduling square generated according to the use habit of user individual Battle array, wherein the dispatch matrix includes schedulable load and non-scheduling load, and the schedulable load dispatch later will not shadow The usage comfort of user is rung, will affect the usage comfort of user after the non-scheduling load dispatch.
Optionally, when the control task includes power failure block information, in determining the local control strategy library not After control strategy corresponding with the control task, the method also includes:
It is raw according to the user's use habit information stored in local knowledge base and the terminal device for meeting bread and butter At the use weight and power consumption weight of each terminal device;
According to the use weight and power consumption weight of each terminal device, the case where meeting users'comfort to greatest extent Under, determine the use duration in the bootable terminal device in power failure section and bootable terminal device.
Optionally, the control instruction that control strategy is decomposed into corresponding different terminal equipment, and according to the control System instruction controls corresponding terminal device, comprising:
According to the content of control strategy, the parameter setting control that control strategy is decomposed into corresponding different terminal equipment is referred to It enables, start closing control instruction and use duration control instruction;
Corresponding terminal device is sent by wirelessly or non-wirelessly transmission mode by the control instruction, realization sets terminal Standby control.
Optionally, the method also includes:
The cloud computing center is sent by the control task and the corresponding control strategy of the control task, and The cloud computing center is received by carrying out analysis life to history control task and the corresponding control strategy of history control task At users'comfort Promotion Strategy.
A kind of terminal equipment control calculated based on cloud and mist, is applied to mist computing terminal, and cloud computing center is corresponding extremely A few mist computing terminal, described device include:
Affecting parameters acquiring unit, for obtaining energy affecting parameters information;
Task analysis unit obtains at least one control for carrying out task analysis to the energy affecting parameters information Task;
Judging unit, for judging whether the control task needs cloud computing center to be performed in unison with;If so, triggering is sent Receiving unit, if it is not, triggering control strategy generation unit;
The transmitting and receiving unit for sending cloud computing center for the control task, and receives the cloud computing The control strategy that center is generated according to the control task, and triggering terminal device control cell;
The control strategy generation unit for generating corresponding control strategy according to the control task, and triggers institute State terminal device control unit;
The terminal device control unit, the control for control strategy to be decomposed into corresponding different terminal equipment refer to It enables, and corresponding terminal device is controlled according to the control instruction.
Optionally, the energy affecting parameters information includes customer incident information, user's body information and environmental information.
Optionally, the task analysis unit, specifically for the execution time of the determination control task;Judge the control Within a preset range whether the execution time of task processed;If so, determining that the control task does not need cloud computing center collaboration and holds Row;If it is not, determining that the control task needs cloud computing center to be performed in unison with.
Optionally, the control strategy generation unit, comprising:
Judgment sub-unit, for judging in local control strategy library with the presence or absence of control corresponding with the control task Strategy;If it exists, triggering control strategy obtains subelement, if it does not exist, triggers electricity demand forecasting value computation subunit;
The control strategy obtains subelement, opposite with the control task in the local control strategy library for obtaining The control strategy answered;
The electricity demand forecasting value computation subunit, for determining the specified of specified electrical equipment according to the control task The prediction power and electricity consumption duration of power and electricity consumption duration and non-specified electrical equipment, and according to the specified electrical equipment Rated power and electricity consumption duration and the non-specified electrical equipment prediction power and electricity consumption duration calculation electricity demand forecasting Value, the prediction power of the non-specified electrical equipment be according to environmental information environmental information corresponding with users'comfort it Between gap estimate;
Electricity consumption period matrix generates subelement, for the mark according to the corresponding each terminal device of the control task With the electricity consumption period of terminal device each in the control task, electricity consumption period matrix is generated, the electricity consumption period matrix indicates The corresponding each terminal device of the control task each period whether electricity consumption;
Optimal control policy generates subelement, for according to the electricity demand forecasting value and the electricity consumption period matrix, Under conditions of supply side constraint and users'comfort constraint, the corresponding optimal control policy of the control task is generated, and The corresponding optimal control policy of the control task is stored in local control strategy library.
Optionally, the optimal control policy generates subelement, is specifically used for being powered according to the electricity consumption period matrix Under the constraint of side constrained dispatch rule and users'comfort constrained dispatch rule, the electricity consumption period of terminal device is adjusted Degree, generates optimal electricity consumption period matrix;According to the electricity demand forecasting value, relax in supply side constrained dispatch rule and user Under the constraint of appropriate constrained dispatch rule, determine that the power supply order of different power supply modes and every kind of the maximum of power supply mode supply Electricity.
Optionally, the supply side constrained dispatch rule includes photovoltaic power generation, energy storage electricity, power grid trough electricity and power grid wave crest The electricity consumption of electricity uses sequence and photovoltaic power generation constraint rule, energy-storage system constraint rule and power constraint rule;
The users'comfort constrained dispatch rule is specially the scheduling square generated according to the use habit of user individual Battle array, wherein the dispatch matrix includes schedulable load and non-scheduling load, and the schedulable load dispatch later will not shadow The usage comfort of user is rung, will affect the usage comfort of user after the non-scheduling load dispatch.
Optionally, when the control task includes power failure block information, in determining the local control strategy library not After control strategy corresponding with the control task, the control strategy generation unit is also used to be known according to local Know the user's use habit information stored in library and the terminal device for meeting bread and butter, generates making for each terminal device With weight and power consumption weight;According to the use weight and power consumption weight of each terminal device, meeting user to greatest extent In the case where comfort level, the use duration in the bootable terminal device in power failure section and bootable terminal device is determined.
Optionally, the terminal device control unit decomposes control strategy specifically for the content according to control strategy Control instruction is closed for the parameter setting control instruction of corresponding different terminal equipment, starting and uses duration control instruction; Corresponding terminal device is sent by wirelessly or non-wirelessly transmission mode by the control instruction, realizes the control to terminal device System.
Optionally, the transmitting and receiving unit is also used to the control task and the corresponding control of the control task Strategy processed is sent to the cloud computing center, and receives the cloud computing center and pass through to history control task and history control The corresponding control strategy of task processed carries out the users'comfort Promotion Strategy of analysis generation.
It is a kind of based on cloud and mist calculate terminal device control system, including cloud computing center, at least one mist computing terminal, And at least one corresponding terminal device of the mist computing terminal;
The mist computing terminal includes the above-mentioned terminal equipment control calculated based on cloud and mist.
Compared with the existing technology, beneficial effects of the present invention are as follows:
It is disclosed by the embodiments of the present invention it is a kind of based on cloud and mist calculate terminal equipment control method, apparatus and system, cloud meter Calculation center corresponds at least one mist computing terminal, and mist computing terminal corresponds at least one terminal device, and mist computing terminal obtains packet The energy affecting parameters information of customer incident information, user's body information and environmental information is included, and the energy affecting parameters are believed Breath carries out task analysis, obtains at least one control task, when control task, which does not need cloud computing center, to be performed in unison with, according to Control task generates corresponding control strategy, and control strategy is decomposed into the control instruction of corresponding different terminal equipment, and according to Corresponding terminal device is controlled according to control instruction;When control task needs cloud computing center to be performed in unison with, will control Task is sent to cloud computing center, and the control is executed after receiving the control strategy that cloud computing center is generated according to control task System strategy.
As it can be seen that voluntarily generating control plan by mist computing terminal when control task does not need cloud computing center and is performed in unison with Slightly, it does not need to generate control strategy by cloud computing center, compensates for cloud computing transmission there are the deficiency of hysteresis quality, meet use The timeliness requirement that family is used in using energy source and terminal device;When control task needs cloud computing center to be performed in unison with, by Cloud computing center generates control strategy, and mist computing terminal executes control strategy, forms complete wisdom home energy source management plan Slightly, in the case where meeting users'comfort, keep user power utilization expenditure minimum.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is that a kind of application scenarios of terminal equipment control method calculated based on cloud and mist disclosed by the embodiments of the present invention are shown It is intended to;
Fig. 2 is a kind of process signal of terminal equipment control method calculated based on cloud and mist disclosed by the embodiments of the present invention Figure;
Fig. 3 is that the process of the method disclosed by the embodiments of the present invention that corresponding control strategy is generated according to control task is illustrated Figure;
Fig. 4 is that the process of the generation method of the corresponding optimal control policy of control task disclosed by the embodiments of the present invention is shown It is intended to;
Fig. 5 is a kind of structural representation of terminal equipment control calculated based on cloud and mist disclosed by the embodiments of the present invention Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Mist, which calculates (Fog Computing), to be had and at the terminal, or can carry out data between devices, on network and deposit Storage with calculate ability, can handle it is some timely, relatively simple task.Based on this, the present embodiment is calculated eventually using mist End and cloud computing center Collaboration generate and meet the minimum control plan of electricity consumption expenditure that users'comfort demand and timeliness require Slightly realize the optimum control to terminal device.
Specifically, referring to Fig. 1, Fig. 1 is the disclosed terminal equipment control method calculated based on cloud and mist of the present embodiment Application scenarios schematic diagram, cloud computing center correspond at least one mist computing terminal, and mist computing terminal corresponds at least one terminal and sets Standby, mist computing terminal is arranged in user terminal, wherein cloud computing center requires lower or mist to calculate mainly for the treatment of to timeliness Terminal processes not the problem of;Mist computing terminal is for handling more demanding to timeliness or simple control task;Terminal is set Standby includes electric power supply system equipment and smart home device, and electric power supply system equipment includes energy storage device, photovoltaic power generation equipment, power grid, Smart home device includes that intelligent appliance, intelligent security guard, intelligent socket, intelligent lighting etc. can be controlled and be dispatched by mist computing terminal Equipment.
Referring to Fig. 2, the disclosed terminal equipment control method calculated based on cloud and mist of the present embodiment specifically includes following step It is rapid:
S101: energy affecting parameters information is obtained;
Energy affecting parameters information is the parameter information for influencing the energy and using, and the energy includes electricity, natural gas, light source etc., energy Source affecting parameters information includes customer incident information, user's body information and environmental information.
Wherein, the mode for obtaining customer incident information can input by voice or pass through use to obtain user by network Family end equipment, such as the customer incident information of smart phone, pad, computer terminal device input, customer incident information includes user To the require information of environment, scheduling information, outage information, information of cutting off the water, stop natural gas information etc., scheduling information packet It includes the time of going out of user, whether dine out, time of going home, exercise program etc..
The mode for obtaining user's body information can be to be adopted by what network obtained by a series of end sensor equipment The real-time biological informations such as user's heart rate of collection, blood pressure, blood glucose can also obtain user by network and pass through ustomer premises access equipment input User's body information, the information such as whether sick, the sick type of user.
Environmental information includes temperature, humidity, sunshine situation, air quality etc., can obtain various terminals by network and pass The environmental information of sensor acquisition, can also obtain the environmental information of ustomer premises access equipment input by network.
S102: task analysis is carried out to energy affecting parameters information, obtains at least one control task;
It should be noted that further including influencing ginseng to the energy of acquisition carrying out task analysis to energy affecting parameters information Number information is pre-processed, and the data for meeting predetermined format is such as converted into energy affecting parameters information, to energy affecting parameters Information carries out simple classification etc..
It is understood that user generally can be in the customer incident information of the previous day input second day, mist computing terminal Ginseng can be influenced according to second day environmental information of active user's biological information and prediction, the energy as second day control task Number information.Certainly, user can also input the energy affecting parameters information such as the customer incident information on the same day.
Therefore, task analysis can be carried out according to the time parameter in energy affecting parameters information, it such as will be within one day Energy affecting parameters information carries out task analysis and generates a control task, i.e., is generated according to the energy affecting parameters information of tomorrow The control task of tomorrow generates posteriori control task according to posteriori energy affecting parameters information.
Certainly, carrying out task analysis according to the time parameter in energy affecting parameters information is only one disclosed in the present embodiment The optional embodiment of kind, the present invention is not limited thereto.
S103: judge whether control task needs cloud computing center to be performed in unison with;
Specifically, can be judged according to the timeliness of control task and the complexity of control task control task whether need Cloud computing center is wanted to be performed in unison with.
When according to the timeliness of control task judging whether that cloud computing center is needed to be performed in unison with, it is first determined control is appointed Execution time of business, then whether within a preset range judge execution time of control task, such as 24 hours of current time it It is interior, when within a preset range, determine that control task does not need cloud computing center and is performed in unison with, when not within a preset range, Determine that control task needs cloud computing center to be performed in unison with.
When according to the complexity of control task judging whether that cloud computing center is needed to be performed in unison with, it is first determined control The complexity of task can such as determine the complexity of control task according to the quantity that the control in control task requires, then Judge whether the complexity of control task is less than preset value, if so, determining that control task does not need cloud computing center It is performed in unison with, if it is not, determining that control task needs cloud computing center to be performed in unison with.
If so, executing S104: sending cloud computing center for control task, and receive cloud computing center according to control task The control strategy of generation, and execute S106;
Specifically, can encrypt by Hash Encryption Algorithm to control task, cloud computing center is re-send to, is guaranteed The safety of information transmission.
Cloud computing center generates the smallest control strategy of electricity consumption expenditure for meeting users'comfort demand according to control task, Realize the optimum control to terminal device.
If it is not, executing S105: generating corresponding control strategy according to control task, and execute S106;
Specifically, the smallest control strategy of electricity consumption expenditure for meeting users'comfort demand is generated according to control task, it is real Now to the optimum control of terminal device.
S106: control strategy is decomposed into the control instruction of corresponding different terminal equipment, and according to control instruction to right The terminal device answered is controlled.
Specifically, the parameter that control strategy is decomposed into corresponding different terminal equipment is set according to the content of control strategy Determine control instruction, control instruction is closed in starting and use duration control instruction, then by control instruction by wirelessly or non-wirelessly passing Defeated mode is sent to corresponding terminal device, realizes the control to terminal device, such as before user needs using hot water, hot water Device equipment can receive control instruction, and water temperature is heated in advance to be suitble to the temperature of user;Intelligent security guard equipment can be in user Warning situation and dangerous feelings during staying out, to the equipment that the region of arrangement security device is monitored in real time, to appearance Condition reminds user to alarm when necessary in time;Intelligent socket can receive control instruction and control each Terminal Type on-off and can detect Whether electricity consumption is safe;Intelligent lighting can receive control instruction according to the adjusting brightness of user's use habit and according to light conditions It is switched, this will not be repeated here.
Wherein, wirelessly or non-wirelessly transmission mode can be ZigBee, bluetooth, infrared, power carrier etc..
Referring to Fig. 3, according to control task generate corresponding control strategy method specifically includes the following steps:
S201: judge to whether there is control strategy corresponding with control task in local control strategy library;
It should be noted that it is stored with the corresponding control strategy of preset control task in local control strategy library, And the corresponding control strategy of history control task generated before mist computing terminal.
If it exists, S202: control strategy corresponding with control task in local control strategy library is obtained;
If it does not exist, the rated power and electricity consumption duration, Yi Jifei of specified electrical equipment S203: are determined according to control task The prediction power and electricity consumption duration of specified electrical equipment, and rated power and electricity consumption duration according to specified electrical equipment and The prediction power and electricity consumption duration calculation electricity demand forecasting value of non-specified electrical equipment;
When converting the starting and use of corresponding different terminal equipment for the energy affecting parameters information in control task It is long, for example, obtaining next day several points until what time according to the customer incident information that user inputs can move outside, then known according to local Knowledge library, which obtains user, to have a bath within how many minutes after going home, and then judge the hot water amount needed and preference temperature, be converted into heat The starting of wetting system and use duration.
Wherein, when the energy is power supply, terminal device includes specified electrical equipment and non-specified electrical equipment, specified electricity consumption Equipment such as TV etc., non-specified electrical equipment such as convertible frequency air-conditioner etc..
Specifically, the calculation formula of electricity demand forecasting value is as follows:
E (i)=∑ Pa*Δt*λ(i)+∑Pb*Δt*λ(i)
Wherein, E (i) is the power quantity predicting value of next day all terminal devices, PaFor the rated power of specified electrical equipment, Pb For the prediction power of non-specified electrical equipment, Δ t is the electricity consumption duration of electrical equipment, and λ (i) is whether next day electrical equipment works Coefficient, value is as follows:
The prediction power of non-specified electrical equipment is according to environmental information and users'comfort in energy affecting parameters information What the gap between corresponding environmental information was estimated.
Further, when data input occur and conflict, i.e., multiple same a period of time for inputting the same terminal device of direction Between when, the terminal device of judgement can be inputted by needing the information being sent to user mobile phone or other users by mist computing terminal, The priority for allowing user to determine that the input of conflict executes;If user does not timely feedback, mist computing terminal is needed according to multiple Input corresponding input matrixMultiplied by the input weight matrix stored in local knowledge baseAccording to calculating Obtained weight coefficient is executed and is executed preferentially to judge which kind of the corresponding terminal device of input for conflict input according to Grade sequence.
S204: according to each terminal device in the mark and control task of the corresponding each terminal device of control task The electricity consumption period generates electricity consumption period matrix;
According to the Terminal Equipment Identifier mapping table stored in local knowledge base, the corresponding each terminal of control task is obtained The mark of equipment, wherein Terminal Equipment Identifier mapping table includes the mapping relations of user's each terminal device and mark.
According to the electricity consumption of each terminal device in the mark and control task of the corresponding each terminal device of control task Period generates electricity consumption period matrixElectricity consumption period matrix indicates that the control task is corresponding each Terminal device each period whether electricity consumption, specifically, every row indicates each period in one day, each column indicates each of user Terminal device.
S205: it according to electricity demand forecasting value and electricity consumption period matrix, is constrained in supply side constraint and users'comfort Under the conditions of, the corresponding optimal control policy of control task is generated, and the corresponding optimal control policy of control task is stored In local control strategy library.
It should be noted that the corresponding optimal control policy of control task is stored in local control strategy library, constantly To local control strategy library carry out dilatation, improve mist computing terminal processing capacity, improve mist computing terminal in using energy source With the timeliness processing capacity of terminal device control.
Specifically, referring to Fig. 4, the generation method of the corresponding optimal control policy of control task specifically includes following step It is rapid:
S301: according to electricity consumption period matrix, in supply side constrained dispatch rule and users'comfort constrained dispatch rule Constraint under, the electricity consumption period of terminal device is scheduled, optimal electricity consumption period matrix is generated;
Wherein, supply side constrained dispatch rule includes the use of photovoltaic power generation, energy storage electricity, power grid trough electricity and power grid wave crest electricity Electricity uses sequence and photovoltaic power generation constraint rule, energy-storage system constraint rule and power constraint rule.
It is understood that so that user is paid the smallest electricity consumption uses sequence are as follows: photovoltaic power generation, energy storage electricity, power grid trough Electricity and power grid wave crest electricity.
Photovoltaic power generation constraint rule includes output power constraint, capacity-constrained, weather constraint;Energy-storage system constraint rule packet Include output power constraint, charge and discharge constraint and capacity-constrained;Power constraint rule includes that electricity tariff constraint, different electricity price correspond to the period Constraint.
Users'comfort constrained dispatch rule is specially the dispatch matrix generated according to the use habit of user individual, In, the dispatch matrix includes schedulable load and non-scheduling load, will not influence use after the schedulable load dispatch The usage comfort at family, such as washing machine, dryer, intelligent window, fresh air system, sweeping robot, heat accumulation electric heater are eventually End equipment;It will affect the usage comfort of user after the non-scheduling load dispatch, such as air-conditioning, humidifier terminal are set It is standby.
It further, can be with by the constraint of supply side constrained dispatch rule and users'comfort constrained dispatch rule The electricity price the smallest period that schedulable load priority scheduling allows to supply side is executed in the case where meeting users'comfort, Generate optimal electricity consumption period matrix.
S302: according to electricity demand forecasting value, in supply side constrained dispatch rule and users'comfort constrained dispatch rule Constraint under, determine the power supply order of different power supply modes and the maximum power supply volume of every kind of power supply mode.
It is understood that the corresponding optimal control policy of control task includes optimal electricity consumption period matrix and difference The maximum power supply volume of the power supply order of power supply mode and every kind of power supply mode.
Further, the corresponding optimal control policy of control task can be energy storage device of making rational planning for and be filled with from power grid Power grid trough electricity, as second day power demand it is few in the case where, the electric energy of photovoltaic power generation can be stored into energy storage device In, the use in case evening or user come back;User can not be influenced in scheduling on daytime when power demand is big within second day to relax Appropriateness terminal device by photovoltaic power generation starting operation, do not influence users'comfort experience terminal device include washing machine, Dryer, intelligent window, fresh air system, sweeping robot, heat accumulation electric heater etc.;It can be with when power demand is big within second day Powered in the terminal device that the low period scheduling of electricity price does not influence users'comfort by the supply side of low electricity price etc..
Further, when control task includes power failure block information, made according to the user stored in local knowledge base With habits information and the terminal device for meeting bread and butter, the use weight and power consumption power of each terminal device are generated Weight, according to the use weight and power consumption weight of each terminal device, in the case where meeting users'comfort to greatest extent, really It is scheduled on the use duration of the bootable terminal device in power failure section and bootable terminal device.
It should also be noted that, mist computing terminal can incite somebody to action since cloud computing center has powerful calculating analysis ability Control task and the corresponding control strategy of control task are sent to the cloud computing center, and receive cloud computing center and pass through The users'comfort for carrying out analysis generation to history control task and the corresponding control strategy of history control task promotes plan Slightly.
Specifically, cloud computing center can analyze the personalized use habit of user, every kind of input corresponding different end Personalized control strategy is held, the use habit trend analysis of a user is formed.It can also be by the use habit of user and cloud meter The comfort level at calculation center and healthy big data compare, and selection is identical with user's body essential information most in contrast sample Excellent use habit carries out difference analysis.Analysis result can also be compared, and judge to obtain according to user's body situation One promotes the use habit suggestion of users'comfort and health.The suggestion can be, the identical user of body essential information, more It is 23 degree that the habit that the user of health uses, which is bathing water temperature, the recent use habit of this user is 26 degree, if user is nearest Do not have sick etc., water temperature can be changed to 23 degree etc. with recommended user.
Disclosed a kind of terminal equipment control method calculated based on cloud and mist based on the above embodiment, referring to Fig. 5, this reality It applies example correspondence and discloses a kind of terminal equipment control calculated based on cloud and mist, be applied to mist computing terminal, cloud computing center At least one corresponding mist computing terminal, the device include:
Affecting parameters acquiring unit 401, for obtaining energy affecting parameters information, the energy affecting parameters information includes Customer incident information, user's body information and environmental information;
Task analysis unit 402 obtains at least one control for carrying out task analysis to the energy affecting parameters information Task processed;
Optionally, the task analysis unit 402, specifically for the execution time of the determination control task;Judge institute Whether within a preset range to state the execution time of control task;If so, determining that the control task does not need cloud computing center association With execution;If it is not, determining that the control task needs cloud computing center to be performed in unison with.
Judging unit 403, for judging whether the control task needs cloud computing center to be performed in unison with;If so, triggering Unit 404 is transmitted and received, if it is not, triggering control strategy generation unit 405;
The transmitting and receiving unit 404 for sending cloud computing center for the control task, and receives the cloud meter The control strategy that calculation center is generated according to the control task, and triggering terminal device control cell 406;
The control strategy generation unit 405 for generating corresponding control strategy according to the control task, and triggers The terminal device control unit 406;
The terminal device control unit 406, for control strategy to be decomposed into the control of corresponding different terminal equipment Instruction, and corresponding terminal device is controlled according to the control instruction.
Optionally, the control strategy generation unit 405, comprising:
Judgment sub-unit, for judging in local control strategy library with the presence or absence of control corresponding with the control task Strategy;If it exists, triggering control strategy obtains subelement, if it does not exist, triggers electricity demand forecasting value computation subunit;
The control strategy obtains subelement, opposite with the control task in the local control strategy library for obtaining The control strategy answered;
The electricity demand forecasting value computation subunit, for determining the specified of specified electrical equipment according to the control task The prediction power and electricity consumption duration of power and electricity consumption duration and non-specified electrical equipment, and according to the specified electrical equipment Rated power and electricity consumption duration and the non-specified electrical equipment prediction power and electricity consumption duration calculation electricity demand forecasting Value, the prediction power of the non-specified electrical equipment be according to environmental information environmental information corresponding with users'comfort it Between gap estimate;
Electricity consumption period matrix generates subelement, for the mark according to the corresponding each terminal device of the control task With the electricity consumption period of terminal device each in the control task, electricity consumption period matrix is generated, the electricity consumption period matrix indicates The corresponding each terminal device of the control task each period whether electricity consumption;
Optimal control policy generates subelement, for according to the electricity demand forecasting value and the electricity consumption period matrix, Under conditions of supply side constraint and users'comfort constraint, the corresponding optimal control policy of the control task is generated, and The corresponding optimal control policy of the control task is stored in local control strategy library.
Optionally, the optimal control policy generates subelement, is specifically used for being powered according to the electricity consumption period matrix Under the constraint of side constrained dispatch rule and users'comfort constrained dispatch rule, the electricity consumption period of terminal device is adjusted Degree, generates optimal electricity consumption period matrix;According to the electricity demand forecasting value, relax in supply side constrained dispatch rule and user Under the constraint of appropriate constrained dispatch rule, determine that the power supply order of different power supply modes and every kind of the maximum of power supply mode supply Electricity.
Optionally, the supply side constrained dispatch rule includes photovoltaic power generation, energy storage electricity, power grid trough electricity and power grid wave crest The electricity consumption of electricity uses sequence and photovoltaic power generation constraint rule, energy-storage system constraint rule and power constraint rule;
The users'comfort constrained dispatch rule is specially the scheduling square generated according to the use habit of user individual Battle array, wherein the dispatch matrix includes schedulable load and non-scheduling load, and the schedulable load dispatch later will not shadow The usage comfort of user is rung, will affect the usage comfort of user after the non-scheduling load dispatch.
Optionally, when the control task includes power failure block information, in determining the local control strategy library not After control strategy corresponding with the control task, the control strategy generation unit is also used to be known according to local Know the user's use habit information stored in library and the terminal device for meeting bread and butter, generates making for each terminal device With weight and power consumption weight;According to the use weight and power consumption weight of each terminal device, meeting user to greatest extent In the case where comfort level, the use duration in the bootable terminal device in power failure section and bootable terminal device is determined.
Optionally, the terminal device control unit 406, specifically for the content according to control strategy, by control strategy It is decomposed into the parameter setting control instruction of corresponding different terminal equipment, control instruction is closed in starting and is referred to using duration control It enables;Corresponding terminal device is sent by wirelessly or non-wirelessly transmission mode by the control instruction, is realized to terminal device Control.
Optionally, the transmitting and receiving unit is also used to the control task and the corresponding control of the control task Strategy processed is sent to the cloud computing center, and receives the cloud computing center and pass through to history control task and history control The corresponding control strategy of task processed carries out the users'comfort Promotion Strategy of analysis generation.
A kind of terminal equipment control calculated based on cloud and mist disclosed in the present embodiment, when control task does not need cloud meter When calculation center is performed in unison with, control strategy is voluntarily generated by mist computing terminal, does not need to generate control plan by cloud computing center Slightly, compensate for cloud computing transmission there are the deficiency of hysteresis quality, meet user used in using energy source and terminal device it is timely Property require;When control task needs cloud computing center to be performed in unison with, control strategy, mist computing terminal are generated by cloud computing center Control strategy is executed, foring complete wisdom home energy source management strategy makes user in the case where meeting users'comfort Electricity consumption expenditure is minimum.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (11)

1. a kind of terminal equipment control method calculated based on cloud and mist, which is characterized in that be applied to mist computing terminal, in cloud computing The heart corresponds at least one mist computing terminal, which comprises
Obtain energy affecting parameters information;
Task analysis is carried out to the energy affecting parameters information, obtains at least one control task;
Judge whether the control task needs cloud computing center to be performed in unison with;
If so, sending cloud computing center for the control task, and the cloud computing center is received according to the control task The control strategy of generation;
If it is not, generating corresponding control strategy according to the control task;
Control strategy is decomposed into the control instruction of corresponding different terminal equipment, and according to the control instruction to corresponding end End equipment is controlled.
2. the method according to claim 1, wherein the energy affecting parameters information includes customer incident letter Breath, user's body information and environmental information.
3. judging whether the control task needs in cloud computing the method according to claim 1, wherein described The heart is performed in unison with, comprising:
Determine the execution time of the control task;
Whether within a preset range to judge the execution time of the control task;
If so, determining that the control task does not need cloud computing center and is performed in unison with;
If it is not, determining that the control task needs cloud computing center to be performed in unison with.
4. the method according to claim 1, wherein described generate corresponding control plan according to the control task Slightly, comprising:
Judge to whether there is control strategy corresponding with the control task in local control strategy library;
If it exists, control strategy corresponding with the control task in the local control strategy library is obtained;
If it does not exist, the rated power and electricity consumption duration and non-specified of specified electrical equipment are determined according to the control task The prediction power and electricity consumption duration of electrical equipment, and rated power and electricity consumption duration according to the specified electrical equipment and The prediction power and electricity consumption duration calculation electricity demand forecasting value of the non-specified electrical equipment, the non-specified electrical equipment it is pre- Power scale is to be estimated according to the gap between environmental information environmental information corresponding with users'comfort;
According to each terminal device in the mark of the corresponding each terminal device of the control task and the control task The electricity consumption period, electricity consumption period matrix is generated, the electricity consumption period matrix indicates the corresponding each terminal device of the control task Each period whether electricity consumption;
According to the electricity demand forecasting value and the electricity consumption period matrix, in the item of supply side constraint and users'comfort constraint Under part, the corresponding optimal control policy of the control task is generated, and by the corresponding optimum control plan of the control task It is slightly stored in local control strategy library.
5. according to the method described in claim 4, it is characterized in that, it is described according to the electricity demand forecasting value and the electricity consumption when Section matrix generates the corresponding optimal control of the control task under conditions of supply side constraint and users'comfort constrain System strategy, comprising:
According to the electricity consumption period matrix, in the constraint of supply side constrained dispatch rule and users'comfort constrained dispatch rule Under, the electricity consumption period of terminal device is scheduled, optimal electricity consumption period matrix is generated;
According to the electricity demand forecasting value, in the constraint of supply side constrained dispatch rule and users'comfort constrained dispatch rule Under, determine the power supply order of different power supply modes and the maximum power supply volume of every kind of power supply mode.
6. according to the method described in claim 5, it is characterized in that, the supply side constrained dispatch rule include photovoltaic power generation, The electricity consumption of energy storage electricity, power grid trough electricity and power grid wave crest electricity is constrained using sequence and photovoltaic power generation constraint rule, energy-storage system Rule and power constraint rule;
The users'comfort constrained dispatch rule is specially the dispatch matrix generated according to the use habit of user individual, In, the dispatch matrix includes schedulable load and non-scheduling load, will not influence use after the schedulable load dispatch The usage comfort at family, the non-scheduling load dispatch will affect the usage comfort of user later.
7. according to the method described in claim 4, it is characterized in that, when the control task includes power failure block information, Determine in the local control strategy library that the method is also wrapped there is no after control strategy corresponding with the control task It includes:
According to the user's use habit information stored in local knowledge base and the terminal device for meeting bread and butter, generate every The use weight and power consumption weight of a terminal device;
According to the use weight and power consumption weight of each terminal device, in the case where meeting users'comfort to greatest extent, Determine the use duration in the bootable terminal device in power failure section and bootable terminal device.
8. control strategy be decomposed into corresponding different terminals setting the method according to claim 1, wherein described Standby control instruction, and corresponding terminal device is controlled according to the control instruction, comprising:
According to the content of control strategy, by control strategy be decomposed into corresponding different terminal equipment parameter setting control instruction, Starting closes control instruction and uses duration control instruction;
Corresponding terminal device is sent by wirelessly or non-wirelessly transmission mode by the control instruction, is realized to terminal device Control.
9. the method according to claim 1, wherein the method also includes:
The cloud computing center is sent by the control task and the corresponding control strategy of the control task, and is received The cloud computing center is by carrying out analysis generation to history control task and the corresponding control strategy of history control task Users'comfort Promotion Strategy.
10. a kind of terminal equipment control calculated based on cloud and mist, which is characterized in that be applied to mist computing terminal, cloud computing Center corresponds at least one mist computing terminal, and described device includes:
Affecting parameters acquiring unit, for obtaining energy affecting parameters information;
Task analysis unit obtains at least one control task for carrying out task analysis to the energy affecting parameters information;
Judging unit, for judging whether the control task needs cloud computing center to be performed in unison with;If so, triggering transmits and receives Unit, if it is not, triggering control strategy generation unit;
The transmitting and receiving unit for sending cloud computing center for the control task, and receives the cloud computing center According to the control strategy that the control task generates, and triggering terminal device control cell;
The control strategy generation unit for generating corresponding control strategy according to the control task, and triggers the end End equipment control unit;
The terminal device control unit, for control strategy to be decomposed into the control instruction of corresponding different terminal equipment, and Corresponding terminal device is controlled according to the control instruction.
11. it is a kind of based on cloud and mist calculate terminal device control system, which is characterized in that including cloud computing center, at least one Mist computing terminal and at least one corresponding terminal device of the mist computing terminal;
The mist computing terminal includes the terminal equipment control described in any one of claim 10 calculated based on cloud and mist.
CN201910184488.0A 2019-03-12 2019-03-12 Terminal equipment control method, apparatus and system based on cloud and mist calculating Pending CN109831525A (en)

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